Gas analyzer sensor array and gas detection method based on MEMS

Abstract

The present invention provides a gas analyzer sensor array and a gas detection method based on MEMS, which belongs to the field of gas detection technology, including: determining the gas analyzer for detecting the environment detection area according to the three-dimensional regional structure of the environment detection area, matching the accuracy detection range from the instrument-accuracy mapping table, splitting the environment detection area based on the functional space, and setting an analyzer set to each split area respectively according to the determined accuracy detection range of the gas analyzer and the array arrangement information of the sensor array of the gas analyzer; establishing a communication framework for each split area according to the pre-deployed communication nodes of the environment detection area and in combination with the power loss of each first analyzer in the analyzer set under each split area; after the first analyzer detects and collects the gas data of the corresponding split area, data transmission is performed based on the communication framework, and gas analysis is performed. Ensure the comprehensiveness of the data analysis of gas detection and improve the detection efficiency.

Description

Technical Field

[0001] The present invention relates to the field of gas detection, and in particular to a gas analyzer sensor array and a gas detection method based on MEMS. Background Art

[0002] Micro-Electro-Mechanical System (MEMS), also known as micro-electro-mechanical system, microsystem, micromachine, etc., refers to high-tech devices with a size of several millimeters or even smaller. The gas analyzer is used to detect gas in a specified space to determine the environmental conditions of the space. Therefore, the gas analyzer based on MEMS was born.

[0003] Existing MEMS-based gas analyzers determine the environmental conditions of an area by manually transporting the instrument to a designated location to test the area where gas measurement is required. However, since the gas conditions at different locations in the area are different, a single number of instruments cannot fully measure the gas conditions in the area, and the instrument sometimes cannot communicate and transmit the test data in a timely manner after the test, which leads to low gas detection efficiency.

[0004] Therefore, the present invention proposes a MEMS-based gas analyzer sensor array and a gas detection method. Summary of the invention

[0005] The present invention provides a MEMS-based gas analyzer sensor array and a gas detection method, which are used to preliminarily set up an analyzer by performing structural analysis on a region, and subsequently determine the instrument settings of each split region through comprehensive analysis of functional space, precision detection range, and array arrangement information, to ensure a more comprehensive detection of the region, and to establish a communication framework for each split region through communication nodes to ensure effective data transmission, further ensure the comprehensiveness of data analysis for gas detection, and improve detection efficiency.

[0006] The present invention provides a gas analyzer sensor array and a gas detection method based on MEMS, comprising:

[0007] Step 1: determining a gas analyzer for detecting the environmental detection area according to the three-dimensional regional structure of the environmental detection area, and matching the accuracy detection range from an instrument-accuracy mapping table according to the instrument type of the gas analyzer, wherein the gas analyzer is implemented based on MEMS;

[0008] Step 2: splitting the environmental detection area into regions based on the functional space determined by the three-dimensional region structure, and setting an analyzer set for each split region according to the determined accuracy detection range of the gas analyzer and the array arrangement information of the sensor array of the gas analyzer;

[0009] Step 3: Establish a communication framework for each split area based on the pre-deployed communication nodes in the environmental detection area and in combination with the power loss of each first analyzer in the analyzer set under each split area;

[0010] Step 4: After the first analyzer detects and collects the gas data of the corresponding split area, data transmission is performed based on the communication framework, and gas analysis is performed.

[0011] Preferably, the accuracy detection range includes the accuracy value of the corresponding gas analyzer under the preset accuracy division unit and the historical accurate detection probability based on each accuracy value.

[0012] Preferably, determining a gas analyzer for detecting the environment detection area according to the three-dimensional area structure of the environment detection area includes:

[0013] Structurally splitting the three-dimensional regional structure according to preset structural units, and sequentially acquiring spatial information and physical information of each unit region;

[0014] Combined with the source direction of the environmental detection area and the information related to the unit area, an initial analyzer is configured in the corresponding unit area;

[0015] Initial analyzers of different models are extracted as gas analyzers for the environmental detection area.

[0016] Preferably, the environmental detection area is segmented based on the functional space determined by the three-dimensional area structure, including:

[0017] According to the position distribution structure of the initial analyzers in the environmental detection area, the same type of analyzers are continuously divided to divide the environmental detection area once;

[0018] Secondarily dividing the environmental monitoring area according to the functional space of the three-dimensional regional structure;

[0019] Region splitting is achieved based on the first and second division results.

[0020] Preferably, according to the determined accuracy detection range of the gas analyzer and the array arrangement information of the sensor array of the gas analyzer, an analyzer set is respectively set for each split area, including:

[0021] Determine, according to array arrangement information of the sensor array of the gas analyzer, a first controller directly connected to each sensor and a second controller indirectly connected to each sensor;

[0022] Extracting a first transmission frequency of each sensor to the first controller and a second transmission frequency of each sensor to the second controller from a first operation log of each first controller and a second operation log of each second controller;

[0023] Determine a first influence coefficient of the first controller on the corresponding sensor according to the first transmission frequency and the second transmission frequency and in combination with a communication relationship between the first controller and the second controller under the same sensor;

[0024]

[0025] Y1=G(g1,D1,D2)

[0026]

[0027] Wherein, Y3 represents the first influence coefficient of the first controller on the corresponding sensor; Y0 represents the frequency difference value generated based on the first transmission frequency and the second transmission frequency; Y1 represents the influence factor generated based on the communication relationship g1 between the first controller D1 and the second controller D2 under the same sensor; G(g1, D1, D2) represents the influence function based on g1, D1, D2; Y2 represents the influence factor on the corresponding sensor determined based on the frequency difference value; d1 i1 represents the first transmission frequency of the first controller i1 under the same sensor; δ1 i1 Indicates the preset transmission frequency of the first controller i1 under the same sensor; d2 i2 represents the second transmission frequency of the i2th second controller under the same sensor; δ2 i2 Indicates the preset transmission frequency of the i2th second controller under the same sensor; Δ i2 represents the indirect connection relationship coefficient between the corresponding sensor and the i2th second controller; n1 represents the number of first controllers connected to the same sensor; n2 represents the number of second controllers connected to the same sensor; Represents based on all Δ i2 |d2 i2 -δ2 i2 |The variance of Indicates based on all |d1 i1 -δ1 i1 | Variance; max represents the maximum value sign; 1g represents the logarithmic function sign with base 10;

[0028] According to the single detection accuracy of each sensor in the sensor array and the accuracy detection range of the gas analyzer, the corresponding first influence coefficient is adjusted to obtain a second influence coefficient;

[0029] Setting a first detector according to the regional scene of the split area;

[0030] Calculate the number of instrument settings corresponding to the split area according to the second influence coefficient of each sensor in each first detector and the area size of the split area;

[0031] Determine the setting position of each first detector according to the gas flow direction of the split area and the mapping relationship between the regional scene and the regional position of the corresponding split area;

[0032] Among them, the first detector involved in the split area and the setting position of the first detector constitute a corresponding analyzer set.

[0033] Preferably, adjusting the corresponding first influence coefficient to obtain the second influence coefficient includes:

[0034]

[0035] Wherein, Y4 is the adjusted second influence coefficient; e represents the exponential function sign; Jd represents the single detection accuracy of the corresponding sensor; z j Indicates the jth accuracy value under the accuracy detection range of the corresponding gas analyzer; z j represents the historical accurate detection probability of the jth accuracy value under the accuracy detection range of the corresponding gas analyzer; m represents the number of accuracy values ​​under the accuracy detection range of the corresponding gas analyzer; a1 is a constant, and its value is 0.5.

[0036] Preferably, calculating the number of instrument settings corresponding to the split area includes:

[0037]

[0038] Among them, N1 j2 Indicates the analysis value of the j2th sensor in the corresponding gas analyzer; Y4 j2 Represents the second influence coefficient of the j2th sensor in the corresponding gas analyzer; R0 j2 Indicates the preset influence coefficient of the j2th sensor in the corresponding gas analyzer; sum indicates the sum symbol; sq indicates the area size of the corresponding split area; dq indicates the unit interval size of the instrument setting for the corresponding split area; [] indicates the rounding down symbol; ceiling indicates the rounding up symbol; sum{N1 j2} means for all N1 j2 The cumulative sum of m3 represents the N1 in the corresponding gas analyzer. j2 is a non-zero number; m2 represents the number of sensors in the corresponding gas analyzer; N2 represents the number of instrument settings in the corresponding split area.

[0039] Preferably, according to the pre-deployed communication nodes in the environment detection area and in combination with the power loss of each first analyzer in the analyzer set under each split area, a communication framework for each split area is established, including:

[0040] Determine the instrument attribute according to the communication access information of each first analyzer, and perform correlation analysis on all instrument attributes in the analyzer set under the corresponding split area to obtain the first communication protocol;

[0041] Acquire a first node attribute that is closest to the corresponding split area and a second node attribute that is second closest to the corresponding split area among the pre-deployed communication nodes;

[0042] Perform protocol matching with each first communication protocol according to the first node attribute and the second node attribute;

[0043] Respectively obtain the power loss of each first analyzer in the corresponding analyzer set, obtain the transmission loss cs1 between the corresponding first analyzer and the first node closest to it, and obtain the transmission loss cs2 between the corresponding first analyzer and the second node closest to it;

[0044] cs1=W1(sf1,L1,dls,sm1,sy1)

[0045] cs2=W2(sf2,L2,dls,sm2,sy2)

[0046] Among them, sf1 represents the data transmission load corresponding to the communication channel formed by the first analyzer and the first node; L1 represents the data transmission distance corresponding to the communication channel formed by the first analyzer and the first node; dls represents the loss per unit transmission distance; sm1 represents the service life corresponding to the first node; sy1 represents the attenuation factor corresponding to the communication channel formed by the first analyzer and the first node; sf2 represents the data transmission load corresponding to the communication channel formed by the first analyzer and the second node; L2 represents the data transmission distance corresponding to the communication channel formed by the first analyzer and the second node; sm2 represents the service life corresponding to the second node; sy2 represents the attenuation factor corresponding to the communication channel formed by the first analyzer and the second node; W1 and W2 represent loss functions respectively;

[0047] Capturing a communication interference curve between each first analyzer and each communication channel under the corresponding first node and second node;

[0048] Based on the communication signal value at each moment in the communication interference curve, the average communication value at the corresponding period moment in all adjacent transmission periods is determined. At the same time, similarity analysis is performed on the period curves under any two adjacent transmission periods to determine the interference center frequency based on the communication interference curve;

[0049] Determine the maximum allowable delay based on the interference center frequency and all average communication values;

[0050] The protocol matching results, loss results and maximum allowable delay results are input into the framework building module to establish the communication framework of the corresponding split area.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] The analyzer is initially set up through structural analysis of the area, and the instrument settings of each split area are subsequently determined through comprehensive analysis of the functional space, precision detection range, and array arrangement information to ensure a more comprehensive detection of the area. The communication framework of each split area is established through communication nodes to ensure effective data transmission, further ensuring the comprehensiveness of gas detection data analysis and improving detection efficiency.

[0053] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0054] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0056] Figure 1 The figure is a flow chart of a MEMS-based gas analyzer sensor array and a gas detection method in an embodiment of the present invention. DETAILED DESCRIPTION

[0057] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0058] The present invention provides a gas analyzer sensor array and a gas detection method based on MEMS, such as Figure 1 As shown, including:

[0059] Step 1: determining a gas analyzer for detecting the environmental detection area according to the three-dimensional regional structure of the environmental detection area, and matching the accuracy detection range from an instrument-accuracy mapping table according to the instrument type of the gas analyzer, wherein the gas analyzer is implemented based on MEMS;

[0060] Step 2: splitting the environmental detection area into regions based on the functional space determined by the three-dimensional region structure, and setting an analyzer set for each split region according to the determined accuracy detection range of the gas analyzer and the array arrangement information of the sensor array of the gas analyzer;

[0061] Step 3: Establish a communication framework for each split area based on the pre-deployed communication nodes in the environmental detection area and in combination with the power loss of each first analyzer in the analyzer set under each split area;

[0062] Step 4: After the first analyzer detects and collects the gas data of the corresponding split area, data transmission is performed based on the communication framework, and gas analysis is performed.

[0063] Preferably, the accuracy detection range includes the accuracy value of the corresponding gas analyzer under the preset accuracy division unit and the historical accurate detection probability based on each accuracy value.

[0064] In this embodiment, the environmental detection area refers to an area where environmental air quality monitoring is required, for example, it may be a chemical plant, an electronics factory, or other area where air quality monitoring is required.

[0065] In this embodiment, the three-dimensional regional structure refers to the three-dimensional structure of the area where environmental air quality monitoring is required, such as the three-dimensional structure of a factory building in an electronics factory, wherein the factory building involves different production objects and the pollution generated by each object will also be different. Therefore, the gas analyzer required for the corresponding factory building can be determined, wherein the regional splitting is to split the factory building according to its function. For example, the factory building has function 1, function 2, and function 3, and then the region can be split according to the corresponding function.

[0066] In this embodiment, the analyzer set refers to the analyzers set in the corresponding area and the setting positions of the analyzers.

[0067] In this embodiment, the array arrangement information is pre-set, that is, after the analyzer is determined, the deployment status of several sensors in the analyzer can be directly obtained, including the connection status between the sensor and the controller, and the connection status between the controller and the communication module, etc., wherein the arrangement status of several sensors is the sensor array.

[0068] In this embodiment, the instrument type refers to the instrument type under the detected environmental parameter combination, such as a particulate matter detector, a sulfur dioxide analyzer, and the like.

[0069] In this embodiment, the instrument-accuracy mapping table includes different gas analyzers and the accuracy detection ranges for the gas analyzers, which are all planned in advance for instrument evaluation before leaving the factory.

[0070] In this embodiment, since the production batches of gas analyzers of the same model are different, there will be certain errors in accuracy, and thus an accuracy detection range is obtained. For example, the range is (a1, a2), where {a1, a1+b1, a1+2b1, ..., a2} is obtained according to the preset accuracy division units such as b1. The historical accurate detection probability refers to the historical effective detection times / the total historical detection times at each accuracy.

[0071] In this embodiment, the pre-deployed communication node is pre-set, and the power loss condition refers to the operating loss of the first analyzer in a working state.

[0072] In this embodiment, the communication architecture refers to the communication connection relationship between the communication node and the first analyzer, for example, the node A1 is communication-connected with the first analyzer a1 and the first analyzer a2, and the node A2 is communication-connected with the first analyzer a3 and the first analyzer a4.

[0073] In this embodiment, data transmission can be performed directly after the corresponding gas data is collected, wherein the gas data may be the concentration of carbon dioxide, sulfide, particulate matter, etc., which may be data indicating environmental conditions.

[0074] The beneficial effects of the above technical solution are: the analyzer is preliminarily set up through structural analysis of the area, and the instrument settings of each split area are subsequently determined through comprehensive analysis of the functional space, precision detection range, and array arrangement information, to ensure a more comprehensive detection of the area, and to establish a communication framework for each split area through communication nodes to ensure effective data transmission, further ensuring the comprehensiveness of gas detection data analysis and improving detection efficiency.

[0075] The present invention provides a MEMS-based gas analyzer sensor array and a gas detection method, which determines a gas analyzer for detecting an environmental detection area according to a three-dimensional regional structure of the environmental detection area, and includes:

[0076] Structurally splitting the three-dimensional regional structure according to preset structural units, and sequentially acquiring spatial information and physical information of each unit region;

[0077] Combined with the source direction of the environmental detection area and the information related to the unit area, an initial analyzer is configured in the corresponding unit area;

[0078] Initial analyzers of different models are extracted as gas analyzers for the environmental detection area.

[0079] In this embodiment, the preset structural unit can be 1 cubic meter, and the structure is split according to the standard of 1 cubic meter to determine the spatial information (the (x, y, z) coordinate information of the area) and physical information (actual objects existing in the space, such as equipment for producing plastic shells for vacuum cleaners, which will use various materials) under each unit.

[0080] In this embodiment, the source direction refers to the direction of the wind in the corresponding area. Because different wind directions will cause gases in different spaces to flow along the directions, the relevant information will be determined, and the relevant information is the gas information that may be generated by flowing along the directions.

[0081] The beneficial effect of the above technical solution is: the three-dimensional regional structure is split according to preset structural units, and the gas analyzer in the corresponding area is comprehensively determined based on the acquired space, physical objects and related information, so as to ensure the rationality of the setting of environmental detection area analysis and indirectly improve the detection efficiency.

[0082] The present invention provides a gas analyzer sensor array and a gas detection method based on MEMS, which performs regional segmentation on the environmental detection area based on the functional space determined by the three-dimensional regional structure, including:

[0083] According to the position distribution structure of the initial analyzers in the environmental detection area, the same type of analyzers are continuously divided to divide the environmental detection area once;

[0084] Secondarily dividing the environmental monitoring area according to the functional space of the three-dimensional regional structure;

[0085] Region splitting is achieved based on the first and second division results.

[0086] In this embodiment, each unit area has an initial analyzer, so the position distribution structure can be determined according to the spatial position of the unit area and the initial analyzer corresponding to the spatial position.

[0087] In this embodiment, the purpose of the coherent division is to group analyzers of the same model together, thereby achieving a one-time division of the area.

[0088] In this embodiment, the functional space refers to the different areas in the structure that perform functions, such as the function of producing plastic shells, the function of producing screw shells, etc., which are divided in this way, that is, secondary division.

[0089] In this embodiment, for example, there are functional space B1 and functional space B2 in factory A1. At this time, after the functional space is divided according to the unit area, the effective area splitting is achieved according to the coherent results of the same model analyzers in the corresponding functional space.

[0090] The beneficial effect of the above technical solution is: the analyzers are analyzed coherently according to the models and combined with the functional space, so as to realize the double division of the area, and provide a basis for the subsequent deployment of analyzers and the construction of communication architecture.

[0091] The present invention provides a gas analyzer sensor array and a gas detection method based on MEMS, which respectively sets an analyzer set to each split area according to the determined accuracy detection range of the gas analyzer and the array arrangement information of the sensor array of the gas analyzer, including:

[0092] Determine, according to array arrangement information of the sensor array of the gas analyzer, a first controller directly connected to each sensor and a second controller indirectly connected to each sensor;

[0093] Extracting a first transmission frequency of each sensor to the first controller and a second transmission frequency of each sensor to the second controller from a first operation log of each first controller and a second operation log of each second controller;

[0094] Determine a first influence coefficient of the first controller on the corresponding sensor according to the first transmission frequency and the second transmission frequency and in combination with a communication relationship between the first controller and the second controller under the same sensor;

[0095]

[0096] Y1=G(g1,D1,D2)

[0097]

[0098]

[0099] Wherein, Y3 represents the first influence coefficient of the first controller on the corresponding sensor; Y0 represents the frequency difference value generated based on the first transmission frequency and the second transmission frequency; Y1 represents the influence factor generated based on the communication relationship g1 between the first controller D1 and the second controller D2 under the same sensor; G(g1, D1, D2) represents the influence function based on g1, D1, D2; Y2 represents the influence factor on the corresponding sensor determined based on the frequency difference value; d1 i1 represents the first transmission frequency of the first controller i1 under the same sensor; δ1 i1 Indicates the preset transmission frequency of the first controller i1 under the same sensor; d2 i2 represents the second transmission frequency of the i2th second controller under the same sensor; δ2 i2 Indicates the preset transmission frequency of the i2th second controller under the same sensor; Δ i2represents the indirect connection relationship coefficient between the corresponding sensor and the i2th second controller; n1 represents the number of first controllers connected to the same sensor; n2 represents the number of second controllers connected to the same sensor; Represents based on all Δ i2 |d2 i2 -δ2 i2 |The variance of Indicates based on all |d1 i1 -δ1 i1 | variance; max represents the maximum value sign; 1g represents the logarithmic function sign with base 10;

[0100] According to the single detection accuracy of each sensor in the sensor array and the accuracy detection range of the gas analyzer, the corresponding first influence coefficient is adjusted to obtain a second influence coefficient;

[0101] Setting a first detector according to the regional scene of the split area;

[0102] Calculate the number of instrument settings corresponding to the split area according to the second influence coefficient of each sensor in each first detector and the area size of the split area;

[0103] Determine the setting position of each first detector according to the gas flow direction of the split area and the mapping relationship between the regional scene and the regional position of the corresponding split area;

[0104] Among them, the first detector involved in the split area and the setting position of the first detector constitute a corresponding analyzer set.

[0105] Preferably, adjusting the corresponding first influence coefficient to obtain the second influence coefficient includes:

[0106]

[0107] Wherein, Y4 is the adjusted second influence coefficient; e represents the exponential function sign; Jd represents the single detection accuracy of the corresponding sensor; z j Indicates the jth accuracy value under the accuracy detection range of the corresponding gas analyzer; z j represents the historical accurate detection probability of the jth accuracy value under the accuracy detection range of the corresponding gas analyzer; m represents the number of accuracy values ​​under the accuracy detection range of the corresponding gas analyzer; a1 is a constant, and its value is 0.5.

[0108] Preferably, calculating the number of instrument settings corresponding to the split area includes:

[0109]

[0110] Among them, N1 j2Indicates the analysis value of the j2th sensor in the corresponding gas analyzer; Y4 j2 Represents the second influence coefficient of the j2th sensor in the corresponding gas analyzer; R0 j2 Indicates the preset influence coefficient of the j2th sensor in the corresponding gas analyzer; sum indicates the sum symbol; sq indicates the area size of the corresponding split area; dq indicates the unit interval size of the instrument setting for the corresponding split area; [] indicates the rounding down symbol; ceiling indicates the rounding up symbol; sum{N1 j2} means for all N1 j2 The cumulative sum of m3 represents the N1 in the corresponding gas analyzer. j2 is a non-zero number; m2 represents the number of sensors in the corresponding gas analyzer; N2 represents the number of instrument settings in the corresponding split area.

[0111] In this embodiment, the structural structure of each gas analyzer is pre-planned, that is, it belongs to an existing device, and how different components in the existing device are arranged and connected is known, that is, array arrangement information.

[0112] In this embodiment, the sensor is a device for gas detection, and the sensor is used to detect the concentration of polluted gases in the environment. The controller is used to perform preliminary processing on the data detected by the sensor, such as conversion of analog signals to digital signals, wherein the transmission frequency is obtained based on the communication channel between the sensor and the controller.

[0113] In this embodiment, the single detection accuracy refers to the only detection accuracy of the corresponding sensor.

[0114] In this embodiment, the regional scene refers to the working conditions of the corresponding area, such as specific production conditions, etc., so as to determine the gaseous pollutants that may be generated.

[0115] In this embodiment, the gas flow direction refers to the flow direction of the gas in the corresponding area;

[0116] In this embodiment, the regional position mapping relationship between the regional scene and the split region refers to the position occupied by the actual production equipment in the region.

[0117] The beneficial effects of the above technical solution are: the connection relationship between the devices is determined through the array arrangement information, and then the first influence coefficient is preliminarily determined, and then the coefficient is adjusted by combining the single detection accuracy and the accuracy detection range to ensure the reliability of the coefficient, and then the number of instruments is set by the coefficient and size of the scene setting detector, and the reasonable setting of the position is achieved in combination with the position mapping relationship, ensuring the reasonable setting of the communication construction for the relevant areas, and then ensuring the reasonable transmission of gas.

[0118] The present invention provides a gas analyzer sensor array and a gas detection method based on MEMS, which establishes a communication framework for each split area according to the pre-deployed communication nodes in the environmental detection area and the power loss of each first analyzer in the analyzer set under each split area, including:

[0119] Determine the instrument attribute according to the communication access information of each first analyzer, and perform correlation analysis on all instrument attributes in the analyzer set under the corresponding split area to obtain the first communication protocol;

[0120] Acquire a first node attribute that is closest to the corresponding split area and a second node attribute that is second closest to the corresponding split area among the pre-deployed communication nodes;

[0121] Perform protocol matching with each first communication protocol according to the first node attribute and the second node attribute;

[0122] Respectively obtain the power loss of each first analyzer in the corresponding analyzer set, obtain the transmission loss cs1 between the corresponding first analyzer and the first node closest to it, and obtain the transmission loss cs2 between the corresponding first analyzer and the second node closest to it;

[0123] cs1=W1(sf1,L1,dls,sm1,sy1)

[0124] cs2=W2(sf2,L2,dls,sm2,sy2)

[0125] Among them, sf1 represents the data transmission load corresponding to the communication channel formed by the first analyzer and the first node; L1 represents the data transmission distance corresponding to the communication channel formed by the first analyzer and the first node; dls represents the loss per unit transmission distance; sm1 represents the service life corresponding to the first node; sy1 represents the attenuation factor corresponding to the communication channel formed by the first analyzer and the first node; sf2 represents the data transmission load corresponding to the communication channel formed by the first analyzer and the second node; L2 represents the data transmission distance corresponding to the communication channel formed by the first analyzer and the second node; sm2 represents the service life corresponding to the second node; sy2 represents the attenuation factor corresponding to the communication channel formed by the first analyzer and the second node; W1 and W2 represent loss functions respectively;

[0126] Capturing a communication interference curve between each first analyzer and each communication channel under the corresponding first node and second node;

[0127] Based on the communication signal value at each moment in the communication interference curve, the average communication value at the corresponding period moment in all adjacent transmission periods is determined. At the same time, similarity analysis is performed on the period curves under any two adjacent transmission periods to determine the interference center frequency based on the communication interference curve;

[0128] Determine the maximum allowable delay based on the interference center frequency and all average communication values;

[0129] The protocol matching results, loss results and maximum allowable delay results are input into the framework building module to establish the communication framework of the corresponding split area.

[0130] In this embodiment, the communication access information refers to the situation where the first analyzer establishes a communication connection, such as the Internet of Things, short radio frequency, etc. At this time, the instrument attribute refers to the possible situation where the corresponding analyzer can communicate and connect.

[0131] In this embodiment, the association analysis refers to the association of possible situations of the communication connection. For example, the result after association is an Internet of Things connection. At this time, the corresponding first communication protocol is a wireless protocol, a Bluetooth protocol, or the like.

[0132] In this embodiment, the first node and the second node closest to the corresponding split distance are determined, and the node attribute refers to the relevant protocol in the communication situation, etc.

[0133] In this embodiment, the purpose of protocol matching is to ensure the consistency of the protocols, thereby ensuring the effectiveness of communication.

[0134] In this embodiment, the power loss condition refers to the self-loss condition of the analyzer.

[0135] In this embodiment, the transmission loss is obtained based on the loss-parameter combination comparison table. Therefore, the loss matching the parameter combination can be obtained from the table, which is pre-set.

[0136] In this embodiment, the communication interference curve refers to a communication curve corresponding to data transmitted in a channel after the analyzer establishes communication with the node, and the communication signal value in the curve can be directly captured.

[0137] In this embodiment, adjacent transmission cycles refer to two adjacent cycles. For example, the curve contains continuous time points t1, t2, t3, t4, t5, and t6, where three time points are one cycle. In this case, t1, t2, and t3 are a transmission cycle CS1, and t4, t5, and t6 are a transmission cycle CS2. CS1 and CS2 are adjacent transmission cycles.

[0138] In this embodiment, the average communication values ​​at corresponding periodic moments are: the average value of t1 and t4, the average value of t2 and t5, and the average value of t3 and t6.

[0139] In this embodiment, similarity analysis is implemented based on a similarity function, that is, a curve formed by CS1 and a curve formed by CS2 are subjected to curve similarity analysis, firstly, similar parts are determined, and then dissimilar parts are screened out to determine the signal difference and difference time of the dissimilar parts, and the interference center frequency is determined according to the signal difference and difference time in all adjacent transmission cycles;

[0140] For example, the interference center frequency = the average signal frequency of all dissimilar parts, and the signal frequency of the dissimilar parts = the average sum of the frequencies of the parts corresponding to two adjacent periods under the dissimilar parts.

[0141] In this embodiment, the maximum allowable delay=standard delay at the interference center frequency×(average value of all average communication values−minimum value of all average communication values) / average value of all average communication values.

[0142] The standard delay at the interference center frequency is obtained based on a frequency-delay comparison table, and the table contains different interference center frequencies and delays matching the frequencies, which are pre-planned.

[0143] In this embodiment, the architecture building model is obtained by training the neural network model based on the protocol, loss, delay and expert architecture analysis results of the combination as samples, so the communication architecture of the corresponding split area can be easily and directly obtained.

[0144] The beneficial effect of the above technical solution is: by performing protocol analysis from the instrument itself, combining the properties of the node and the loss analysis to provide a preliminary construction basis, and then determining the delay through frequency, the three are combined to obtain a communication framework, which ensures the reliability of communication as much as possible and provides a basis for providing detection efficiency.

[0145] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A gas detection method based on a MEMS gas analyzer sensor array, characterized in that: include: Step 1: determining a gas analyzer for detecting the environmental detection area according to the three-dimensional regional structure of the environmental detection area, and matching the accuracy detection range from an instrument-accuracy mapping table according to the instrument type of the gas analyzer, wherein the gas analyzer is implemented based on MEMS; Step 2: splitting the environmental detection area into regions based on the functional space determined by the three-dimensional region structure, and setting an analyzer set for each split region according to the determined accuracy detection range of the gas analyzer and the array arrangement information of the sensor array of the gas analyzer; Step 3: Establish a communication framework for each split area based on the pre-deployed communication nodes in the environmental detection area and in combination with the power loss of each first analyzer in the analyzer set under each split area; Step 4: After the first analyzer detects and collects the gas data of the corresponding split area, data transmission is performed based on the communication framework, and gas analysis is performed; Wherein, determining a gas analyzer for detecting the environmental detection area according to the three-dimensional regional structure of the environmental detection area includes: Structurally splitting the three-dimensional regional structure according to preset structural units, and sequentially acquiring spatial information and physical information of each unit region; Combined with the source direction of the environmental detection area and the information related to the unit area, an initial analyzer is configured in the corresponding unit area; Extracting initial analyzers of different models as gas analyzers for the environmental detection area; The step of performing region splitting on the environment detection region based on the functional space determined by the three-dimensional region structure includes: According to the position distribution structure of the initial analyzers in the environmental detection area, the same type of analyzers are continuously divided to divide the environmental detection area once; Secondarily dividing the environmental monitoring area according to the functional space of the three-dimensional regional structure; Realize region splitting based on the first division result and the second division result; According to the determined accuracy detection range of the gas analyzer and the array arrangement information of the sensor array of the gas analyzer, an analyzer set is respectively set for each split area, including: Determine, according to array arrangement information of the sensor array of the gas analyzer, a first controller directly connected to each sensor and a second controller indirectly connected to each sensor; Extracting a first transmission frequency of each sensor to the first controller and a second transmission frequency of each sensor to the second controller from a first operation log of each first controller and a second operation log of each second controller; Determine a first influence coefficient of the first controller on the corresponding sensor according to the first transmission frequency and the second transmission frequency and in combination with a communication relationship between the first controller and the second controller under the same sensor; Y1=G(g1,D1,D2) Wherein, Y3 represents the first influence coefficient of the first controller on the corresponding sensor; Y0 represents the frequency difference value generated based on the first transmission frequency and the second transmission frequency; Y1 represents the influence factor generated based on the communication relationship g1 between the first controller D1 and the second controller D2 under the same sensor; G(g1, D1, D2) represents the influence function based on g1, D1, D2; Y2 represents the influence factor on the corresponding sensor determined based on the frequency difference value; d1 i1 represents the first transmission frequency of the first controller i1 under the same sensor; δ1 i1 Indicates the preset transmission frequency of the first controller i1 under the same sensor; d2 i2 represents the second transmission frequency of the i2th second controller under the same sensor; δ2 i2 Indicates the preset transmission frequency of the i2th second controller under the same sensor; Δ i2 represents the indirect connection relationship coefficient between the corresponding sensor and the i2th second controller; n1 represents the number of first controllers connected to the same sensor; n2 represents the number of second controllers connected to the same sensor; Represents based on all Δ i2 |d2 i2 -δ2 i2 |The variance of Indicates based on all |d1 i1 -δ1 i1 | variance; max represents the maximum value sign; lg represents the logarithmic function sign with base 10; According to the single detection accuracy of each sensor in the sensor array and the accuracy detection range of the gas analyzer, the corresponding first influence coefficient is adjusted to obtain a second influence coefficient; Setting a first detector according to the regional scene of the split area; Calculate the number of instrument settings corresponding to the split area according to the second influence coefficient of each sensor in each first detector and the area size of the split area; Determine the setting position of each first detector according to the gas flow direction of the split area and the mapping relationship between the regional scene and the regional position of the corresponding split area; The first detector involved in the split area and the setting position of the first detector constitute a corresponding analyzer set; Wherein, according to the pre-deployed communication nodes in the environment detection area and in combination with the power loss of each first analyzer in the analyzer set under each split area, a communication framework for each split area is established, including: Determine the instrument attribute according to the communication access information of each first analyzer, and perform correlation analysis on all instrument attributes in the analyzer set under the corresponding split area to obtain the first communication protocol; Acquire a first node attribute that is closest to the corresponding split area and a second node attribute that is second closest to the corresponding split area among the pre-deployed communication nodes; Perform protocol matching with each first communication protocol according to the first node attribute and the second node attribute; Respectively obtain the power loss of each first analyzer in the corresponding analyzer set, obtain the transmission loss cs1 between the corresponding first analyzer and the first node closest to it, and obtain the transmission loss cs2 between the corresponding first analyzer and the second node closest to it; cs1=W1(sf1,L1,dls,sm1,sy1) cs2=W2(sf2,L2,dls,sm2,sy2) Among them, sf1 represents the data transmission load corresponding to the communication channel formed by the first analyzer and the first node; L1 represents the data transmission distance corresponding to the communication channel formed by the first analyzer and the first node; dls represents the loss per unit transmission distance; sm1 represents the service life corresponding to the first node; sy1 represents the attenuation factor corresponding to the communication channel formed by the first analyzer and the first node; sf2 represents the data transmission load corresponding to the communication channel formed by the first analyzer and the second node; L2 represents the data transmission distance corresponding to the communication channel formed by the first analyzer and the second node; sm2 represents the service life corresponding to the second node; sy2 represents the attenuation factor corresponding to the communication channel formed by the first analyzer and the second node; W1 and W2 represent loss functions respectively; Capturing a communication interference curve between each first analyzer and each communication channel under the corresponding first node and second node; Based on the communication signal value at each moment in the communication interference curve, the average communication value at the corresponding period moment in all adjacent transmission periods is determined. At the same time, similarity analysis is performed on the period curves under any two adjacent transmission periods to determine the interference center frequency based on the communication interference curve; Determine the maximum allowable delay based on the interference center frequency and all average communication values; The protocol matching results, loss results and maximum allowable delay results are input into the framework building module to establish the communication framework of the corresponding split area.

2. The gas detection method of the MEMS-based gas analyzer sensor array according to claim 1, characterized in that: The accuracy detection range includes the accuracy value of the corresponding gas analyzer in the preset accuracy division unit and the historical accurate detection probability based on each accuracy value.

3. The gas detection method of the MEMS-based gas analyzer sensor array according to claim 1, characterized in that: The corresponding first influence coefficient is adjusted to obtain the second influence coefficient, including: Wherein, Y4 is the adjusted second influence coefficient; e represents the exponential function sign; Jd represents the single detection accuracy of the corresponding sensor; z j Indicates the jth accuracy value under the accuracy detection range of the corresponding gas analyzer; y j represents the historical accurate detection probability of the jth accuracy value under the accuracy detection range of the corresponding gas analyzer; m represents the number of accuracy values ​​under the accuracy detection range of the corresponding gas analyzer; a1 is a constant, and its value is 0.

5.

4. The gas detection method of the MEMS-based gas analyzer sensor array according to claim 3, characterized in that: Calculate the number of instrument settings corresponding to the split region, including: Among them, N1 j2 Indicates the analysis value of the j2th sensor in the corresponding gas analyzer; Y4 j2 Represents the second influence coefficient of the j2th sensor in the corresponding gas analyzer; R0 j2 Indicates the preset influence coefficient of the j2th sensor in the corresponding gas analyzer; sum indicates the sum symbol; sq indicates the area size of the corresponding split area; dq indicates the unit interval size of the instrument setting for the corresponding split area; [] indicates the rounding down symbol; ceiling indicates the rounding up symbol; sum{N1 j2 } means for all N1 j2 The cumulative sum of m3 represents the N1 in the corresponding gas analyzer. j2 is a non-zero number; m2 represents the number of sensors in the corresponding gas analyzer; N2 represents the number of instrument settings in the corresponding split area.

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